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# SPDX-FileCopyrightText: Copyright 2023, Arm Limited and/or its affiliates.
# SPDX-License-Identifier: Apache-2.0
"""Common test utils for the rewrite tests."""
from __future__ import annotations
from typing import Any
from tensorflow.lite.python.schema_py_generated import ModelT
from mlia.nn.rewrite.core.train import TrainingParameters
def models_are_equal(model1: ModelT, model2: ModelT) -> bool:
"""Check that the two models are equal."""
if len(model1.subgraphs) != len(model2.subgraphs):
return False
for graph1, graph2 in zip(model1.subgraphs, model2.subgraphs):
if graph1.name != graph2.name or len(graph1.tensors) != len(graph2.tensors):
return False
for tensor1 in graph1.tensors:
for tensor2 in graph2.tensors:
if tensor1.name == tensor2.name:
if (
tensor1.shape == tensor2.shape
).all() or tensor1.type == tensor2.type:
break
else:
return False # Tensor from graph1 not found in other graph.")
return True
class TestTrainingParameters(
TrainingParameters
): # pylint: disable=too-few-public-methods
"""
TrainingParameter class for rewrites with different default values.
To speed things up for the unit tests.
"""
def __init__(self, *args: Any, steps: int = 32, **kwargs: Any) -> None:
"""Initialize TrainingParameters with different defaults."""
super().__init__(*args, steps=steps, **kwargs) # type: ignore
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